Augment and Criticize: Exploring Informative Samples for Semi-Supervised
Monocular 3D Object Detection

Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection

20 March 2023

Xianming Liu

Papers citing "Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection"

4 / 4 papers shown

Title
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection Lei Yang Xinyu Zhang Li-e Wang Minghan Zhu Chuan-Fang Zhang Jun Li 28 30 0 10 Jul 2022
Semi-Supervised Object Detection with Adaptive Class-Rebalancing Self-Training Fangyuan Zhang Tianxiang Pan Bin Wang 26 54 0 11 Jul 2021
Categorical Depth Distribution Network for Monocular 3D Object Detection Cody Reading Ali Harakeh Julia Chae Steven L. Waslander 3DPC 213 483 0 01 Mar 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020